https://ric.emnuvens.com.br/rev/issue/feed 2024-11-01T16:27:25-03:00 Eliana Severo eliana_severo@alumniin.com Open Journal Systems <p>The <strong>Jo</strong>urnal of <strong>S</strong>ustainable <strong>C</strong>ompetitive <strong>I</strong>ntelligence is an academic publication dedicated to disseminating innovative and relevant research in the fields of competitive intelligence, strategic management, innovation, and sustainability. In this context, the journal seeks to promote the development of interdisciplinary knowledge that facilitates the practical application of strategies and intelligence tools. This enables companies and institutions to respond more effectively to contemporary challenges. In an increasingly globalized and digital world, the ability to anticipate trends and make informed decisions has become essential for the survival and success of organizations, particularly in emerging markets.</p> <p>The journal adopts a double-blind review process to ensure the quality and scientific rigor of its publications. It accepts submissions in three languages—Portuguese, English, and Spanish—expanding its reach and fostering knowledge exchange across diverse regions and cultures.</p> <p>Aligned with the <strong>United Nations Sustainable Development Goals (SDGs)</strong>, this journal supports SDG 2 (Zero Hunger and Sustainable Agriculture), SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), SDG 10 (Reduced Inequalities), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action). The journal encourages submissions that explore how businesses and institutions can contribute to these goals, promoting responsible innovation, sustainability, and social inclusion.</p> <p>Moreover, the JSCI addresses critical issues such as corporate sustainability, social responsibility, public policies, and the ability of organizations to innovate and adapt to rapidly changing economic and technological environments. In doing so, the journal integrates theory and practice, providing a platform for academics, professionals, and policymakers who aim to contribute to the sustainable development of global and local markets.</p> https://ric.emnuvens.com.br/rev/article/view/474 2024-11-01T16:27:25-03:00 Matheus Pussaignolli de Paula matheus.pussaignolli@ufpr.br Matheus Noronha math.euriconoronah@icloud.com Uiara Garcia Valente uiara.valente@rwth-aachen.de Beatriz Regina Inacio Domingues arq.beatrizd@outlook.com Letícia Jahn Souza leticiajahn2019@gmail.com

<p><strong>Objective: </strong>this paper aims to map the main artificial intelligence and robotics technologies that are being applied in offshore wind farms around the world, as well as highlight the possible classification of these technologies in Brazil.</p> <p><strong>Methodology/approach: </strong>the methodology of the work consists of carrying out a bibliometric study based on a Scopus database where a series of quantitative and qualitative analyses were made and, finally, the main papers were grouped into 8 central clusters found<strong>.</strong></p> <p><strong>Originality/Relevance: </strong>The relevance of the work consists of presenting to researchers the main fields that have been studied in the applications of AI and robotics in the context of offshore wind farms and, therefore, allows new research to occur in these fields found from the clusters. In addition, the work summarizes in which stages throughout the development of offshore projects each of the clusters can be applied, thus allowing a significant advance for possible projects to be carried out in Brazil in the future.</p> <p><strong>Main conclusions: </strong>as a result of the research, eight main clusters of research carried out in the field were identified, as well as their possible classification in the Brazilian scenario in the future.</p> <p><strong>Theoretical/methodological contributions: </strong>the scientific contributions that the paper presents to researchers are diverse, among which we can list: the mapping of the main journals that have publications on the theme of AI and robotics applications in the field of offshore wind energy, the main trends in AI and robotics technologies applied to offshore wind energy around the world and, finally, the mapping of the most relevant paper on AI and robotics applications in the context of offshore wind energy, as well as their evidence in the Brazilian context.</p>

2024-11-01T00:00:00-03:00 Copyright (c) 2024 Journal of Sustainable Competitive Intelligence https://ric.emnuvens.com.br/rev/article/view/471 2024-10-25T15:50:17-03:00 Flávio Santino Bizarrias publisher@alumniin.com Jussara da Sila Teixeira Cucato publisher@alumniin.com Marlette Cassia Oliveira Ferreira publisher@alumniin.com Jussara Goulart da Silva publisher@alumniin.com

<p><strong>Objective: </strong>The objective of this study was to investigate the gap between consumers' attitudes and their intention to purchase sustainable products by analysing the necessary conditions for sustainable consumption.</p> <p><strong>Method:</strong> An analysis of necessary conditions was carried out based on latent scores from structural equation modelling based on partial least squares, PLS. The sample was obtained through a survey of potential consumers of sustainable products.</p> <p><strong>Main results: </strong>The study confirmed all the hypotheses, providing evidence of the level of need in relation to the variables of information, attitude and sustainable marketing strategies for sustainable consumption to occur.</p> <p><strong>Relevance/originality: </strong>Despite the growing number of studies on sustainability, there is still a need to understand the gap in the consumption of sustainable products. This study is a pioneer in establishing levels of need for the predictors that should predict the relationship between attitude, intention and behaviour.</p> <p><strong>Theoretical/methodological contributions: </strong>This study advances existing knowledge on the gap between attitude and intention in the consumption of sustainable products through the necessary conditions of antecedents of sustainable consumption, adding as a perspective the levels of occurrence of predictor variables.</p>

2024-09-25T00:00:00-03:00 Copyright (c) 2024